Arun Kumar
Arun Kumar

Automation of Data Prep, ML, and Data Science: New Cure or Snake Oil?

AutoML, Data Preparation, Machine Learning

For almost 30 years, the DB / data management community has intensively studied the vexing pains of data integration, cleaning, and transformation. This research has largely been in the contexts of RDBMSs, SQL-oriented business intelligence (BI), and knowledge base construction. But as the emerging interdisciplinary field of Data Science gains prominence, the massive pain of […]

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SIGMOD EC

SIGMOD EC on diversity and inclusion

Uncategorized

Dear SIGMOD members, We are committed to ensuring that all SIGMOD activities are carried out in an inclusive and diverse environment and we do not tolerate discrimination, harassment, or any other form of misconduct as defined in the ACM code of conduct. We appreciate ACM’s confirmation of these commitments in response to the controversy surrounding […]

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Sourav Bhowmick
Sourav Bhowmick

The End of Manual Checking Era: It’s Time for Automating Conflicts of Interest Management in Peer-Reviewed Venues

Uncategorized

Our professional societies (e.g., ACM, IEEE, VLDB Endowment) have worked hard to ensure that peer review processes in conferences and journals are fair and continue to fulfill their intended purposes. Our community has introduced refinements such as double blind reviews, automated matching of reviewers to topics and to individual papers, multiple submission deadlines, opportunities for […]

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Abolfazl Asudeh
Abolfazl Asudeh

Enabling Responsible Data Science in Practice

Fairness, Responsible Data Science

Introduction The 3rd decade of the 3rd millennium had a dramatic start, with a pandemic that impacted our lives all over the globe. This indicates extraordinary events and rapid changes, ranging from politics and climate change to our social life and work habits. Like it or not, we are getting used to new routines such […]

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Avigdor Gal Roee Shraga
Avigdor Gal Roee Shraga

Humans’ Role in-the-Loop

Data integration

The research of data integration spans over multiple decades, holds both theoretical and practical appeal, and enjoys a continued interest by researchers and practitioners. Efforts in the area include, among other things, process matching, schema matching, and entity resolution. Matching problems have been historically treated as semi-automated tasks in which correspondences are generated by automatic […]

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